Wei Wang

11.4k citations
493 papers · 8.6k indexed · 1 hit paper · h-index 47

Wei Wang

451 papers receiving 8.4k citations

Hit Papers

A Review of Deep Learning Models for Time Series Prediction3142019202620212023100200300

Peers

Wei Wang
Comparison fields: 5 of 165
  • Control and Systems Engineering 4.2k
  • Computer Networks and Communications 2.6k
  • Signal Processing 615
  • Computational Theory and Mathematics 875
  • Artificial Intelligence 1.4k
Replace Bo Shen with:
Bo Shen China
Robert Babuška Netherlands
Maurice Clerc Kuwait
Youxian Sun China
Hao Zhang China
Changhua Hu China
Yeng Chai Soh Singapore
Shahrzad Saremi Australia
Tomohiro Takagi Japan
Essam H. Houssein Egypt
Wei Wang relative to Bo Shen China Bo Shen's profile →
Citations per field
00.5×1.5×
Bo Shen · 1×
Citations per year

Countries citing papers authored by Wei Wang

Since Specialization
Citations

This map shows the geographic impact of Wei Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Wang more than expected).

Fields of papers citing papers by Wei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wei Wang. The network helps show where Wei Wang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Wei Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wei Wang Line = papers co-authored together Wei Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
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5 20241
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7 20245
8 20235
9 20230
10 202315
11 20239
12 20231
13 20238
14 20226
15 20221
16 20227
17 202142
18 20219
19 202051
20 20189

About Wei Wang

Wei Wang is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Signal Processing, Energy Engineering and Power Technology and Artificial Intelligence, having authored 493 papers that have together received 8.6k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (77 papers), Neural Networks Stability and Synchronization (67 papers), Distributed Control Multi-Agent Systems (52 papers), Fault Detection and Control Systems (46 papers), Microgrid Control and Optimization (34 papers), Neural Networks and Applications (33 papers), Adaptive Control of Nonlinear Systems (31 papers) and Advanced Control Systems Optimization (28 papers). The work is most often cited by research in Control and Systems Engineering (4.2k citations), Computer Networks and Communications (2.6k citations), Signal Processing (615 citations), Computational Theory and Mathematics (875 citations) and Artificial Intelligence (1.4k citations). Wei Wang has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Xi‐Ming Sun, Jun Zhao, Dong Wang, Zhongyang Han, Shuai Liu, Witold Pedrycz, Changyun Wen, Dan Wang, Zhouhua Peng and D. Rees. Their work appears in journals such as Information Sciences, IEEE Transactions on Cybernetics, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Industrial Electronics and Automatica.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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